Source data profile
Record counts, duplicates, empty fields, and orphaned records listed per table, so surprises show up before the plan.
The Problem
When the Old System Retires but Its Records Can't
Migration problems surface after go-live, when a customer's history is missing or a total doesn't match. By then, the old system is already switched off.
01 · Encoding
Accented names arrive in the new system as question marks.
We convert character sets and test sample records with real names.
02 · Lost links
Contacts lose their company because the record IDs changed.
Every old ID maps to its new one, keeping related records attached.
03 · Duplicates
Three versions of one customer arrive as three records.
Matching rules merge duplicates before the final run, with a log of each merge.
04 · No counts
Nobody counts rows, so missing invoices surface in support calls.
Row counts and totals are reconciled per table before users switch over.
The vendor has set a shutdown date for your old system, so the move has to happen. Someone exports CSV files and imports them into the new app. Dates arrive as text, and accented names turn into question marks. Contacts lose their link to their company because the IDs changed. Three versions of the same customer arrive as three records. Nobody counted rows before or after, so the first sign of trouble is a support call about a missing invoice.
We start by profiling the source data and agreeing what moves, what gets archived, and how we'll prove the result. Then we write rerunnable scripts that convert types, merge duplicates, and map every old ID to its new one. 2 trial runs in staging catch problems early. Records get checked before cutover, not after a customer notices.
Source data profiled first
Duplicates, blank fields, and broken links get counted before anyone writes a mapping.
Relationships kept intact
Old IDs map to new ones, so contacts, orders, and notes stay attached to the right parent.
Every table reconciled
Row counts, totals, and checksums compared between source and target before users switch over.
Our Data Migration Services Process
From Data Review to Verified Cutover in Five Steps
You approve the mapping sheet, see 2 trial runs in staging, and get a reconciliation report before anyone switches systems.
We profile your source data: tables, record counts, duplicates, blank fields, and broken links between records. You get a findings list and a straight answer on whether the new system's own importer can handle it.
What's Included
What You Get With Our Data Migration Solutions
Each project is scoped to your source systems and target. Most include these six parts, from the first profile of your data to the archive you keep.
Compare Options
DeveloperLook vs Vendor Importer vs DIY CSV
A vendor's importer suits simple, clean data, and DIY CSV suits small lists. Here's where each one breaks as records, links, and history grow.
| Feature | DeveloperLookBest fit | Vendor importer | DIY CSV |
|---|---|---|---|
| Planning | Written strategy and mapping | Import wizard defaults | Done as you go |
| Related records | IDs mapped across tables | Some parent-child links | Links often lost |
| Data cleansing | Dedupe and format fixes | Basic validation only | Manual fixes in Excel |
| Testing | 2 trial runs in staging | A test import, if offered | Spot checks |
| Reconciliation | Counts and totals per table | Import summary report | Rarely done |
| Setup speed | 1 to 10 weeks | Same day for clean data | Hours for small lists |
| Rollback | Rehearsed rollback plan | Delete and re-import | Start over |
| Cost | Fixed price from $1,100 | Usually free with the app | Staff time only |
DeveloperLook
Vendor importer
- Planning
- DeveloperLook: Written strategy and mappingVendor importer: Import wizard defaults
- Related records
- DeveloperLook: IDs mapped across tablesVendor importer: Some parent-child links
- Data cleansing
- DeveloperLook: Dedupe and format fixesVendor importer: Basic validation only
- Testing
- DeveloperLook: 2 trial runs in stagingVendor importer: A test import, if offered
- Reconciliation
- DeveloperLook: Counts and totals per tableVendor importer: Import summary report
- Setup speed
- DeveloperLook: 1 to 10 weeksVendor importer: Same day for clean data
- Rollback
- DeveloperLook: Rehearsed rollback planVendor importer: Delete and re-import
- Cost
- DeveloperLook: Fixed price from $1,100Vendor importer: Usually free with the app
Projects We've Built
Records-Heavy Systems We Have Built
Stores, booking platforms, and web apps from our portfolio, each with an admin dashboard. They weren't migration projects, but they hold the records a migration moves.
Xinomin Fashion Ecommerce Website and Admin Dashboard
- Fashion
- E-commerce
- Dashboard
HoliNest Travel Booking Website and Dashboard
- Travel
- Vacation Rental
- Booking System
Logify Project Risk and Control Management Web App
- Logistics & Transportation
- Construction
- Dashboard
Fuison Fashion Ecommerce Website and Dashboard
- Fashion
- Dashboard
- E-commerce
What Our Clients Say
What Clients Say After Launch
Feedback from teams we have built web apps and admin systems for.
We had a pretty specific idea of what we wanted our website to become, but I wasn’t sure how easily we could explain all of it to a development team. There were quite a few moving parts, and we were working toward a deadline, so I expected a few things to get lost along the way. That never really happened. They understood what we were trying to achieve, kept us updated throughout the process, and got everything ready within the agreed timeline. The final site feels much easier to navigate, works beautifully on mobile, and is noticeably smoother for our customers. It was a huge relief seeing the original idea actually turn into the website we had in mind.
The mobile experience is probably my favourite part of the new site. We had spent a lot of time making sure the desktop version looked right, and the team kept pushing us to think about how everything would actually feel on a phone too. They were right. The navigation is clean, the interactions feel natural, and everything we’ve tested so far works exactly as it should. They also went through the links, forms, integrations, and other details more than once before launch, which I really appreciated. And even after going live, we could still reach out when something came up. The whole process felt friendly, organised, and surprisingly straightforward.
What I appreciate most is that the website is actually easy for us to manage now. We can update content ourselves instead of sending a developer a message every time we need to change something small. They also paid attention to the technical SEO side, which mattered to us because we didn’t want a new website to create problems for the traffic we already had. I’ve probably asked more questions than I should have since launch, but every question has been handled patiently and without any fuss. The team is easy to work with, they explain things clearly, and when we need something changed, they focus on getting it done rather than making the process complicated.
1,250+
Projects shipped
10+
Years of experience
Top 3%
Upwork Top Rated Plus
5 stars
Average review score
Want results like these?
Tell us what you are building. You get a reply within 24 hours on business days, then a written estimate.
Work Culture
Why Teams Trust Us With Their Data Migration
A migration has one real chance in production. These habits keep records complete, history auditable, and your team in control of the switch.
Built-in importer checked first
We test whether the new system's own importer handles your data cleanly. If it does, we'll tell you before we quote and hand you the mapping.
Nothing moves without sign-off
Your team approves the mapping sheet and the archive list before any script runs. Fields nobody uses get archived on purpose, not dropped by accident.
Read-only access to sources
We read from a copy or a read-only database user. Your old system stays exactly as it was until the cutover is signed off.
Cutover windows you choose
We schedule the final run around your quiet hours, weekends, or month-end close. Your team knows exactly when to stop entering data and when to start again.
Personal data handled carefully
Customer and employee data moves over encrypted connections and stays out of email and shared drives. Staging copies get deleted once the migration is signed off.
Scripts handed over to you
Migration scripts, mapping sheets, and reconciliation queries go into your repository. You can rerun or audit the move later without calling us.
Overview
What do data migration services include?
DeveloperLook provides data migration services for teams replacing a database or business application. We profile the source data, map every field, clean duplicates, and run 2 trial migrations with reconciliation reports before cutover. Projects start at $1,100, take 1 to 10 weeks, and the scripts are yours.
DEVELOPERLOOK
Project facts · Data Migration Services
- Service
- Data migration services (profiling, mapping, cleansing, migration testing, cutover)
- Typical timeline
- 1 to 3 weeks for one database, 4 to 10 weeks for application moves
- Platforms
- PostgreSQL, MySQL, SQL Server, MongoDB, and business apps with import APIs
- Built with
- Python, SQL, pgloader, dbt checks, and vendor import APIs
- Experience
- 10+ years of development experience and 1,250+ shipped projects
- Post-launch support
- 30, 60, or 90 days, depending on plan
- Communication
- Calls in US, UK, and AU business hours
- Starting price
- From $1,100 USD, fixed scope after a free data review
Reviewed 8 Oct 2026 by Saimul Islam
Good fit
Teams replacing a legacy business app
Your old CRM or job system is being retired, and years of customers, jobs, and notes must arrive in the new one intact.
Companies switching database engines
You're moving from MySQL or SQL Server to PostgreSQL and need types, indexes, and stored procedures converted without breaking the app.
Businesses merging after an acquisition
You acquired a company that runs its own systems, and both customer lists need merging into one database without duplicates.
IT leads who want a plan first
Your team will run the move, but you want data migration consulting services to write the plan, the mapping, and the test scripts first.
Teams fixing a failed first attempt
Your first import left orphaned records, broken links between tables, and totals that don't match, and you need it redone properly.
Not a fit
Whole website move
You're moving a website to a new platform or host, pages and URLs included. Our Website Migration Services page covers redirects and SEO for that.
Store replatforming
You're moving an online store between ecommerce platforms. Our Ecommerce Migration Services page handles products, customers, orders, and redirects together.
Ongoing data syncs
You need data flowing between systems every day, not a one-time move. Our Data Engineering Services page builds and monitors those pipelines.
One small CSV import
You're importing one clean spreadsheet with no linked records, and your budget is under $1,100. The app's own importer will likely do it, and we'll tell you before we quote.
Not sure we're the right fit?
Book a free call or message us. We'll tell you honestly whether we're the right team.
Pricing
Transparent Starting Prices for Data Migration Services
These are starting points in USD. Your final price depends on the number of sources and tables, how much cleansing the data needs, and the downtime you can accept, and you get a fixed proposal after a free data review.
For one database moving to a new engine or host with a similar structure.
$1,100one-time, USD
- Free source data review
- One source database, up to 30 tables
- Field mapping and type conversion
- 2 trial runs before go-live
- Row count and checksum reconciliation
- 30 days of post-launch support
Recommended
For companies replacing a business app and moving its records into the new one.
$3,200one-time, USD
- Everything in Single Database Move
- Up to 3 sources merged into one target
- Cleansing, deduplication, and ID mapping
- Loads through the target's import API
- Test cases run by your business users
- 60 days of post-launch support
For teams that can't stop taking orders or bookings during the move.
$6,900one-time, USD
- Everything in Application Data Migration
- Up to 6 sources or 200 tables
- Change data capture during cutover
- Rehearsed switchover and rollback plan
- Read-only archive of legacy data
- 90 days of post-launch support
For Agencies
White-Label Data Migration Consulting for Agencies and Studios
You own the client relationship. We supply the data migration work behind your replatforming and system projects: profiling, mapping, scripts, and reconciliation. Fixed quotes protect your margin, and our reports go out under your brand.
How the partnership works
White label: your client only ever sees your brand
- Your client
- You, the agency
- DeveloperLook
Share the systems
Send the source and target systems, record volumes, and your client's go-live date.
- Client needs
- You share the details
- Details received
We map and price
You get a data profile, a mapping sheet, and a fixed quote for the migration.
- Scope and plan
- Proposal to resell
- Your quoteYOUR LOGO
Migrate and hand off
Trial runs, cutover, and a reconciliation report delivered under your agency's brand.
- Done by our team
- Your brand on it
- Handed to your clientDone
Partner with DeveloperLookDelivered under your brand
Stay client-facing
Your brand on every report, and no client contact unless you ask.
Quotes per record set
Each source and table group priced upfront, so the budget holds.
Mapping clients approve
Clear field-by-field sheets your client signs before any data moves.
Reconciled before launch
Count and total checks you can show your client at cutover.
The Right Technology for Your Project
Technology Stack
We use the target system's own import API where it exists, plain SQL and Python for transforms, and open-source tools like pgloader for database moves.
PostgreSQL
MySQL- Microsoft SQL Server
MongoDB
Supabase
Salesforce
HubSpot
QuickBooks
Microsoft Dynamics 365
Odoo
Zendesk
Python- dbt
- pgloader
Docker
Google Sheets
AWS
Google Cloud
Microsoft Azure
DigitalOcean
FAQ
Frequently Asked Questions
Straight answers on data migration costs, timelines, strategy, testing, and when you need outside help.
Saimul IslamFounder & CEO, DeveloperLookStill have questions?
Send a message or book a call with the team.
Data migration is moving data from one storage system or application to another, such as an old CRM into a new one. It includes extracting records, converting formats, keeping the links between records, and loading them into the target. A migration is finished only when you've proved the target matches the source.
Data migration works in 4 stages: profile the source, map fields to the target, run trial migrations, then cut over. Each trial uses rerunnable scripts, so problems found in testing get fixed in code rather than by hand. The final run happens in a window when nobody is editing the old system.
Our data migration projects start at $1,100 for one database of up to 30 tables moving to a new engine or host. Replacing a business app with up to 3 sources starts at $3,200. Low-downtime cutovers with change data capture start at $6,900. You get a fixed quote after the free data review.
One database usually takes 1 to 3 weeks, and an application or low-downtime migration takes 4 to 10 weeks. Data quality drives the schedule more than volume, because duplicates, missing links, and undocumented fields take the longest to resolve. The cutover itself usually fits into a few hours or one weekend.
A data migration strategy is the written plan for what moves, how it's transformed, and how you'll prove it arrived intact. It covers scope, field mapping, cleansing rules, the cutover approach, and rollback. A single big-bang move suits small datasets, while phased migrations suit systems that can't stop.
Data migration is required whenever records must live somewhere new. Common triggers are a system replacement, a database upgrade, a merger, or a vendor ending support for your platform. If you're also moving servers and hosting, that's a wider cloud migration. We cover the records part and work alongside whoever handles the infrastructure.
Planning starts with profiling: counting records, finding duplicates, and listing fields nobody uses. Then the team agrees on the mapping, archive rules, test cases, and a cutover window, all in one document. We plan backward from your go-live date, so both trial runs finish at least a week before cutover.
Data migration testing proves the target matches the source after every trial run. We compare row counts and totals per table, run checksums on key columns, and check relationships, such as every order still pointing to a customer. Your team then tests real cases, like opening an old customer's full history.
Use the importer if your data is one clean list with no links between records. Bring in a data migration services company when you have related tables, duplicates, or history that must survive, because importers rarely map IDs across objects. The free review tells you which case you're in before any quote.
You do. Scripts, mapping sheets, and reconciliation queries go into your repository, and the legacy archive stays in your own account. After cutover, you get 30 to 90 days of support, depending on your plan, to fix any record your team flags in daily use.
Saimul IslamFounder & CEO, DeveloperLookStill have questions?
Send a message or book a call with the team.
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